discrimin: Linear Discriminant Analysis (descriptive statistic)

In ade4: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences

Description

performs a linear discriminant analysis.

Usage

discrimin(dudi, fac, scannf = TRUE, nf = 2)
## S3 method for class 'discrimin'
plot(x, xax = 1, yax = 2, ...) 
## S3 method for class 'discrimin'
print(x, ...) 

Arguments

dudi	a duality diagram, object of class dudi
fac	a factor defining the classes of discriminant analysis
scannf	a logical value indicating whether the eigenvalues bar plot should be displayed
nf	if scannf FALSE, an integer indicating the number of kept axes

x	an object of class 'discrimin'
xax	the column number of the x-axis
yax	the column number of the y-axis
...	further arguments passed to or from other methods

Value

returns a list of class 'discrimin' containing :

nf	a numeric value indicating the number of kept axes
eig	a numeric vector with all the eigenvalues
fa	a matrix with the loadings: the canonical weights
li	a data frame which gives the canonical scores
va	a matrix which gives the cosines between the variables and the canonical scores
cp	a matrix which gives the cosines between the components and the canonical scores
gc	a data frame which gives the class scores

Author(s)

Daniel Chessel
Anne B Dufour [e-mail]

See Also

lda in package MASS

Examples

data(chazeb)
dis1 <- discrimin(dudi.pca(chazeb$tab, scan = FALSE), chazeb$cla, 
    scan = FALSE)
dis1
if(!adegraphicsLoaded())
  plot(dis1)

data(skulls)
plot(discrimin(dudi.pca(skulls, scan = FALSE), gl(5,30), 
    scan = FALSE))

Example output

Discriminant analysis
call: discrimin(dudi = dudi.pca(chazeb$tab, scan = FALSE), fac = chazeb$cla, 
    scannf = FALSE)
class: discrimin 

$nf (axis saved) : 1

eigen values: 0.8451

  data.frame nrow ncol content                          
1 $fa        6    1    loadings / canonical weights     
2 $li        23   1    canonical scores                 
3 $va        6    1    cos(variables, canonical scores) 
4 $cp        6    1    cos(components, canonical scores)
5 $gc        2    1    class scores                     

ade4 documentation built on May 2, 2019, 5:50 p.m.